Knowledge Compensation-Based Active Fault-Tolerant Control for Wastewater Treatment Process

Area of Science:

• Environmental Engineering
• Control Systems Engineering

Background:

• Fault-tolerant control (FTC) is crucial for wastewater treatment plant (WWTP) safety.
• Unknown faults in WWTPs challenge existing FTC strategies due to uncertainties and disturbances.

Purpose of the Study:

• To design a novel knowledge compensation-based active fault-tolerant control (KC-AFTC) for WWTPs.
• To ensure continuous safe and stable operation of WWTPs even with unknown faults.

Main Methods:

• Introduction of a knowledge-based prescribed performance function (KPPF) to constrain WWTP performance.
• Development of a knowledge compensation mechanism (KCM) using KPPF and fault data to reconstruct control laws.
• Stability analysis using Lyapunov theory.

Main Results:

• The proposed KC-AFTC effectively constrains transient and steady-state performance.
• KC-AFTC maintains continuous safe and stable WWTP operation under fault conditions.
• Validation through simulation and a real WWTP confirmed outstanding stability and fault tolerance.

Conclusions:

• KC-AFTC provides a robust solution for fault tolerance in WWTPs.
• The method ensures desirable operational performance despite system uncertainties and faults.
• Lyapunov stability analysis offers a theoretical foundation for practical implementation.